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According to the Data Collectors document1, a data collector is a configuration that captures application data from a method invocation or an HTTP request. A data collector is associated with a specific method signature or an HTTP parameter name. Therefore, if a new class and method have been deployed to the application, or a new method parameter has been added to an instrumented class, the existing data collector may not match the new code and may need to be updated. However, if the business transaction has been deprecated, or a new HTTP parameter has been added to an existing business transaction, the existing data collector may still work as expected, unless the data collector is specifically configured to filter by the business transaction name or the HTTP parameter value. References:

• Data Collectors

Snapshots are the detailed records of the execution of a business transaction, including the call stack, the exit points, the errors, and the metrics. To locate snapshots showing slow database response, you can use the following methods:

• Go to the list of snapshots and apply a filter based on slow database response: You can access the list of snapshots from the Business Transaction Dashboard or the Tier Dashboard. You can then apply a filter to show only the snapshots that have a slow database response time, which is the time spent by the business transaction in calling the database. You can specify the minimum and maximum values for the slow database response time, or use the predefined options such as slower than 1 second, slower than 5 seconds, etc. You can also combine this filter with other filters, such as time range, business transaction name, tier name, node name, etc. to narrow down the results1.
• From the flow map, right-click the database icon and select view snapshots: You can access the flow map from the Application Dashboard, the Business Transaction Dashboard, or the Tier Dashboard. The flow map shows the graphical representation of the flow of the business transactions, including the tiers, the nodes, the backends, and the remote services. You can right-click on any database icon on the flow map and select view snapshots to see the list of snapshots that have called that database. You can then sort or filter the snapshots by the database response time column to find the slowest ones2.

The other options are not valid methods to locate snapshots showing slow database response. Going to the dashboard for the database and selecting slowest database calls will show the metrics and the flow map for the database, but not the snapshots. Going to the list of snapshots and selecting analyze for a group of snapshots will show the summary and the comparison of the selected snapshots, but not the database response time.

An exception in AppDynamics is a code-level event that indicates a problem or abnormality in the execution of a business transaction. AppDynamics captures and presents information on exceptions in the monitored environment, and allows you to configure the rules and criteria for detecting and reporting exceptions.

According to the Errors and Exceptions - AppDynamics, the following two types of events would be marked as an exception in AppDynamics:

• A custom-configured error method and error message: This is a type of event that you can define as an exception based on a specific method and message that indicate an error condition in your application code. You can configure the error detection rules to mark a business transaction as an error and capture the exception information when such a method and message are encountered. For example, you can configure a rule to mark a business transaction as an error and capture the exception when the method com.example.MyClass.myMethod returns the message Invalid input.
• Any message that is logged with a severity of Error or Fatal: This is a type of event that AppDynamics automatically detects as an exception based on the log messages that are generated by your application code. AppDynamics scans the log messages for the keywords Error or Fatal, and marks the business transaction as an error and captures the exception information when such a message is found. For example, AppDynamics will mark a business transaction as an error and capture the exception when the log message contains Error: Null pointer exception.

Therefore, B (a custom-configured error method and error message) and C (any message that is logged with a severity of Error or Fatal) are two types of events that would be marked as an exception in AppDynamics. References:

• Cisco AppDynamics Associate Administrator Certification
• Errors and Exceptions - AppDynamics
• Error Detection - AppDynamics